Simulating congestion pricing policy impacts on pedestrian safety using a system dynamics approach.

Causal loop diagram Congestion pricing policy Pedestrian Simulation model System dynamics Travel demand management

Journal

Accident; analysis and prevention
ISSN: 1879-2057
Titre abrégé: Accid Anal Prev
Pays: England
ID NLM: 1254476

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 02 11 2021
revised: 10 02 2022
accepted: 31 03 2022
pubmed: 13 4 2022
medline: 12 5 2022
entrez: 12 4 2022
Statut: ppublish

Résumé

Research on congestion pricing policy (CPP) impacts has generally focused on the economic and congestion-related benefits of CPPs. Few studies have examined safety effects and the interrelated factors that produce safety outcomes for vulnerable road users. We built a novel system dynamics simulation model to explore the potential mechanisms producing pedestrian injuries over time and the impacts of a CPP (and related interventions) on this trend. We found that pedestrian injury trends varied based on important decisions related to how the CPP is designed, including investments in potential safety-related supports for pedestrians. Infrastructure improvements and speed management interventions could help cities achieve both congestion-relieving goals while also improving safety. Additionally, certain CPP configurations (e.g., additional charges on for-hire vehicles) could further reduce daily vehicle trips and congestion but might lead to unintended negative safety consequences of greater pedestrian injuries. This is the first model to provide a holistic and endogenous look at how interconnected processes affecting congestion and CPP impacts also affect vulnerable road user safety. The use of system dynamics models can facilitate a holistic inspection of potential intended and unintended effects across a range of outcomes, prior to policy implementation.

Identifiants

pubmed: 35413616
pii: S0001-4575(22)00098-7
doi: 10.1016/j.aap.2022.106662
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106662

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Rebecca B Naumann (RB)

Department of Epidemiology and Injury Prevention Research Center, University of North Carolina at Chapel Hill, USA. Electronic address: RNaumann@unc.edu.

Nasim S Sabounchi (NS)

Department of Health Policy and Management, Center for Systems and Community Design, CUNY Graduate School of Public Health & Health Policy, USA.

Jill Kuhlberg (J)

System Stars, LLC and Formerly, University of North Carolina at Chapel Hill, USA.

Bhavna Singichetti (B)

Department of Epidemiology and Injury Prevention Research Center, University of North Carolina at Chapel Hill, USA.

Stephen W Marshall (SW)

Department of Epidemiology and Injury Prevention Research Center, University of North Carolina at Chapel Hill, USA.

Kristen Hassmiller Lich (K)

Department of Health Policy and Management, University of North Carolina at Chapel Hill, USA.

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